Ullah, S. and Nor, N.H.M. and Daud, H. and Zainuddin, N. and Gandapur, M.S.J. and Ali, I. and Khalil, A. (2021) Spatial cluster analysis of COVID-19 in Malaysia (Mar-Sep, 2020). Geospatial Health, 16 (1). ISSN 18271987
Full text not available from this repository.Abstract
Coronavirus disease 2019 (COVID-19) is the current worldwide pandemic as declared by the World Health Organization (WHO) in March 2020. Being part of the ongoing global pandemic, Malaysia has recorded a total of 8639 COVID-19 cases and 121 deaths as of 30th June 2020. This study aims to detect spatial clusters of COVID-19 in Malaysia using the Spatial Scan Statistic (SaTScan�) to guide control authorities on prioritizing locations for targeted interventions. The spatial analyses were conducted on a monthly basis at the state-level from March to September 2020. The results show that the most likely cluster of COVID-19 occurred in West Malaysia repeatedly from March to June, covering three counties (two federal territories and one neighbouring state) and moved to East Malaysia in July covering two other counties. The most likely cluster shows a tendency of having moved from the western part to the eastern part of the country. These results provide information that can be used for the evidence- based interventions to control the spread of COVID-19 in Malaysia. © the Author(s), 2021.
Item Type: | Article |
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Additional Information: | cited By 7 |
Uncontrolled Keywords: | cluster analysis; epidemiology; human; Malaysia; spatial analysis, Cluster Analysis; COVID-19; Humans; Malaysia; SARS-CoV-2; Spatial Analysis |
Depositing User: | Mr Ahmad Suhairi UTP |
Date Deposited: | 10 Nov 2023 03:30 |
Last Modified: | 10 Nov 2023 03:30 |
URI: | https://khub.utp.edu.my/scholars/id/eprint/15777 |